U.S. patent application number 10/736296 was filed with the patent office on 2005-06-16 for system, method and software for a speech-enabled call routing application using an action-object matrix.
This patent application is currently assigned to SBC Knowledge Ventures, L.P.. Invention is credited to Bushey, Robert R., Knott, Benjamin A., Martin, John M..
Application Number | 20050132262 10/736296 |
Document ID | / |
Family ID | 34653855 |
Filed Date | 2005-06-16 |
United States Patent
Application |
20050132262 |
Kind Code |
A1 |
Bushey, Robert R. ; et
al. |
June 16, 2005 |
System, method and software for a speech-enabled call routing
application using an action-object matrix
Abstract
A system, method and software for facilitating a speech-enabled
call routing application using an action-object matrix is
disclosed. In operation, a natural language user utterance may be
evaluated to identify an action and object available in an
action-object matrix indicating transactions or operations
available to a user. Depending upon the contents of the natural
language user utterance, additional prompts and/or a disambiguation
dialogue may be effected to elicit an available action-object
combination selection from the user. Following identification of an
action-object combination from the natural language user utterance,
the action-object matrix may cooperate with a look-up table to
identify an appropriate use routing destination. Following
identification of an appropriate routing destination, the user
connection may be routed to a service agent or module configured to
facilitate the user selected transaction as indicated by the
action-object combination.
Inventors: |
Bushey, Robert R.; (Cedar
Park, TX) ; Martin, John M.; (Austin, TX) ;
Knott, Benjamin A.; (Round Rock, TX) |
Correspondence
Address: |
BAKER BOTTS L.L.P.
PATENT DEPARTMENT
98 SAN JACINTO BLVD., SUITE 1500
AUSTIN
TX
78701-4039
US
|
Assignee: |
SBC Knowledge Ventures,
L.P.
|
Family ID: |
34653855 |
Appl. No.: |
10/736296 |
Filed: |
December 15, 2003 |
Current U.S.
Class: |
714/760 ;
704/E15.023 |
Current CPC
Class: |
H04M 7/1215 20130101;
H04M 7/1255 20130101; H04M 2201/40 20130101; H04M 3/42204 20130101;
H04M 3/523 20130101; G10L 15/197 20130101; H04M 3/527 20130101;
H04M 3/42059 20130101 |
Class at
Publication: |
714/760 |
International
Class: |
H03M 013/00 |
Claims
What is claimed is:
1. Software for routing calls in a call center based on a
transaction request obtained from a natural language caller
utterance, the software embodied in computer readable media and
when executed operable to: evaluate the natural language caller
utterance in accordance with a statistical language modeling speech
recognition utility; determine whether the natural language caller
utterance includes an action; determine whether the natural
language caller utterance includes an object; if the natural
language caller utterance includes only an action, elicit a natural
language caller utterance identifying an object; if the natural
language caller utterance includes only an object, elicit a natural
language caller utterance identifying an action; if neither an
action nor an object are included in the natural language caller
utterance, prompt the caller for a natural language utterance
identifying an action and an object; once an action and an object
have been identified, locate an intersection of the action and the
object in an action-object matrix; determine a routing destination
from a look-up table associated with the action-object matrix
intersection; and direct the caller to the routing destination.
2. A method for identifying a routing destination in a service
center, comprising: prompting a user to convey a request; receiving
a natural language utterance from the user; comparing the natural
language utterance to an action-object matrix; identifying a
routing destination based upon results of the natural language
utterance to action-object matrix comparison; and routing the user
to the routing destination.
3. The method of claim 2, further comprising: querying the
action-object matrix to identify related objects if only an action
and not an object is included in the natural language utterance;
and prompting the user for selection of a related object.
4. The method of claim 2, further comprising: querying the
action-object matrix to identify related actions if an object and
not an action is included in the natural language utterance; and
prompting the user for selection of a related action.
5. The method of claim 2, further comprising initiating a
disambiguation dialog with the user where an action-object
combination cannot be found in the action-object matrix.
6. The method of claim 2, further comprising identifying at least
one of an action, an object and an action-object combination using
a statistical language modeling speech recognition utility.
7. A system for routing a service center user based on a natural
language request, comprising: at least one processor; memory
operably associated with the at least one processor; a program of
instructions storable in the memory and executable by the
processor, the program of instructions operable to identify a task
to be performed from a natural language user request and a task
matrix and to direct the user to a service center agent for
performance of the task.
8. The system of claim 7, further comprising the program of
instructions operable to: identify an action-object combination
from the natural language user request; and locate a service agent
to perform the task based on the identified action-object
combination and the task matrix.
9. The system of claim 7, further comprising the service center
agent operable to provide automated user assistance in performance
of the task.
10. The system of claim 7, further comprising the service center
agent operable to provide technician assisted performance of the
task.
11. The system of claim 7, further comprising the task matrix
including a plurality of available service center actions each
cross-referenced with one or more objects creating action-object
combinations and where the action-object combinations define tasks
available from a service center agent.
12. The system of claim 11, further comprising the program of
instructions operable to reference a look-up table containing
service center agent routing destinations in response to a match
between an action and an object in the natural language utterance
and an action-object combination in the action-object matrix.
13. The system of claim 7, further comprising the program of
instructions operable to identify at least one of an action or an
object in the natural language utterance to identify the task to be
performed.
14. The system of claim 7, further comprising the program of
instructions operable to prompt the user for at least one
additional natural language user request in response to identifying
an action and no object in the natural language user utterance.
15. The system of claim 7, further comprising the program of
instructions operable to prompt the user for at least one
additional natural language user request in response to identifying
an object and no action in the natural language user utterance.
16. The system of claim 7, further comprising the program of
instructions operable to prompt the user for confirmation of the
identified task requested.
17. Software for routing users to an appropriate service center
destination, the software stored in computer readable media and
when executed operable to: match a transaction request derived from
a natural language utterance to a transaction option in a
transaction option matrix; and facilitate connection between the
user and a service module operable to effect processing of the
requested transaction.
18. The software of claim 17, further operable to initiate a
disambiguation dialog with a user in response to a failure to match
a transaction request derived from the natural language utterance
to a transaction in the transaction option matrix.
19. The software of claim 17, further operable to derive an
action-object combination from the natural language utterance.
20. The software of claim 19, further operable to: locate an
action-object intersection in the transaction option matrix
matching the derived action-object combination; and reference a
look-up table associated with the transaction option matrix, the
look-up table containing destination information for a service
module operable to effect the transaction option associated with
the action-object intersection.
21. The software of claim 19, further operable to: query an
action-object matrix in response to derivation of an action without
an object to identify available objects associated with the derived
action; and prompt the user for a natural language utterance
selection of an available object associated with the derived
action.
22. The software of claim 19, further operable to: query an
action-object matrix in response to derivation of an object without
an action to identify available action associated with the derived
object; and prompt the user for a natural language utterance
selection of an available action associated with the derived
object.
Description
TECHNICAL FIELD OF THE INVENTION
[0001] The present invention relates generally to speech
recognition and, more particularly, to speech recognition enabled
automatic call routing service systems.
BACKGROUND OF THE INVENTION
[0002] Developments in speech recognition technologies support more
natural language interaction between services systems and customers
than that previously supported. One of the most promising
applications of these new technologies is Automatic Call Routing
(ACR). The goal of an ACR application is to determine why a
customer is calling the service center and to route the customer to
the most appropriate agent for servicing a customer request. Speech
recognition technology generally allows an ACR application to
recognize natural language statements so the application does not
have to rely on a menu system. This allows the customer to state
the purpose of their call "in their own words".
[0003] In order for an ACR application to properly route calls, the
ACR must generally interpret the intent of the customer, identify
the type or category of customer call, and then identify the
correct routing destination for the call type. Identification of
all the possible call types is a time intensive and extensive phase
of the service center development process, because the call types
are not usually not known prior to ACR development.
BRIEF DESCRIPTION OF THE DRAWINGS
[0004] A more complete understanding of the present embodiments and
advantages thereof may be acquired by referring to the following
description taken in conjunction with the accompanying drawings, in
which like reference numbers indicate like features, and
wherein:
[0005] FIG. 1 is a schematic diagram depicting one embodiment of a
telecommunications system incorporating teachings of the present
invention;
[0006] FIG. 2 is a schematic diagram depicting an alternate
embodiment of a telecommunications system incorporating teachings
of the present invention;
[0007] FIG. 3 is a schematic diagram depicting a further embodiment
of a telecommunications system incorporating teachings of the
present invention;
[0008] FIG. 4 is a block diagram depicting an exemplary embodiment
of a service center system incorporating teachings of the present
invention;
[0009] FIG. 5 is a flow diagram depicting one embodiment of an
action-object based speech recognition enabled automatic call
routing method incorporating teachings of the present invention;
and
[0010] FIG. 6 is a diagram illustrating one embodiment of an
action-object matrix incorporating teachings of the present
invention.
DETAILED DESCRIPTION OF THE INVENTION
[0011] Preferred embodiments and their advantages are best
understood by reference to FIGS. 1 through 6, wherein like numbers
are used to indicate like and corresponding parts.
[0012] Referring first to FIG. 1, a schematic diagram of an
exemplary embodiment of a telecommunications system, indicated
generally at 10 is shown. Telecommunication system 10 may include
communication network 12 in communication with one or more gateway
devices 14 and 16. Input/output (I/O) devices 18 and 20 are each
preferably in communication with respective gateway devices 14 and
16. Accordingly, I/O devices 18 and 20 may be in selective
communication with each other via gateway devices 14 and 16, and
communication network 12.
[0013] In one embodiment, communication network 12 may be a public
switched telephone network (PSTN). In alternate embodiments,
communication network 12 may include a cable telephony network, an
IP (Internet Protocol) telephony network, a wireless network, a
hybrid Cable/PSTN network, a hybrid IP/PSTN network, a hybrid
wireless/PSTN network or any other suitable communication network
or combination of communication networks.
[0014] Gateways 14 and 16 preferably provide I/O devices 18 and 20
with an entrance to communication network 12 and may include
software and hardware components to manage traffic entering and
exiting communication network 12 and conversion between the
communication protocols used by I/O devices 18 and 20 and
communication network 12. In some embodiments, gateways 14 and 16
may function as a proxy server and a firewall server for I/O
devices 18 and 20. In some embodiments, gateways 14 and 16 may be
associated with a router (not expressly shown), operable to direct
a given packet of data that arrives at gateway 14 or 16, and a
switch (not expressly shown), operable to provide a communication
path in and out of gateway 14 or 16.
[0015] In the present embodiment, I/O devices 18 and 20 may include
a variety of forms of equipment connected to communication network
12 and accessible to a user. I/O devices 18 and 20 may be
telephones (wireline or wireless), dial-up modems, cable modems,
DSL (digital subscriber line) modems, phone sets, fax equipment,
answering machines, set-top boxes, televisions, POS (point-of-sale)
equipment, PBX (private branch exchange) systems, personal
computers, laptop computers, personal digital assistants (PDAs),
SDRs, other nascent technologies, or any other appropriate type or
combination of communication equipment available to a user. I/O
devices 18 and 20 may be equipped for connectivity to communication
network 12 via a PSTN, DSLs, a cable network, a wireless network,
or any other appropriate communications channel.
[0016] Referring now to FIG. 2, a block diagram of an exemplary
embodiment of a telecommunication system 22 is shown. In the
exemplary embodiment shown, system 22 preferably includes a PSTN 24
and cable head-end 26 in communication with cable distribution
network 28. PSTN 24 may be in operable communication with host
digital terminal (HDT) 30 and function to convert signals received
from PSTN 24 for transmission over cable networks. Host digital
terminal 30 and cable head-end 26 may be in communication with
combiner 32. Combiner 32 may communicate data received from cable
head-end 26 and/or PSTN 24 to cable distribution network 28. Cable
distribution network 28 may further communicate data to network
interface device 34 to a user via telephone 36, computer 38,
television 40 or any other suitable I/O device. Cable head-end 26
may provide cable television programming and cable modem
communications. Cable head-end 26 typically includes a cable modem
termination system (not expressly shown) for sending and receiving
digital cable modem signals.
[0017] Referring next to FIG. 3, a block diagram of an exemplary
embodiment of a telecommunication system 42 is shown. This
exemplary embodiment generally includes interconnected IP network
44, PSTN 46, and cable distribution networks 48 and 50. IP network
44 may include media gateway controller 52, media gateway 54, and
signaling gateway 56. Media gateway 54 and signaling gateway 56 may
be in operative communication with PSTN 46 and facilitate
communication of information therebetween. IP network 44 may
further communicate with cable distribution networks 48 and 50 via
cable modem termination systems (CMTS) 58 and 60, respectively.
CMTS 58 and 60 may convert IP packets received from IP Network 44
for transmission on cable distribution networks 48 and 50 and
convert signals received from cable distribution networks 48 and 50
into IP Packets for transmission to IP Network 44. Cable
distribution networks 48 and 50 may communicate information with
users via network interface terminals 62 and 64. Network interface
terminals 62 and 64 may provide data services to users through I/O
devices such as, telephones 66 and 68, computers 70 and 72, and
televisions 74 and 76. One or more data services may also be
provided to a user through PSTN 46 and one or more I/O devices such
as telephone 65.
[0018] Telecommunication system 42 of FIG. 3 preferably allows
transmission of services to be delivered to users where such
services include, without limitation, voice over Internet protocol
("VoIP"), video over Internet, video-on-demand over broadband
connections, and the ability to view television and film images as
well as broadcasts. In addition, one of ordinary skill will
appreciate that other embodiments can be deployed with many
variations in the number and type of I/O devices, communication
networks, the communication protocols, system topologies, and
myriad other details without departing from the spirit and scope of
the present invention.
[0019] Referring now to FIG. 4, a block diagram illustrating one
embodiment of a service center incorporating teachings of the
present invention is shown. While reference herein is made
primarily to a customer service call center, alternate
implementations of teachings of the present invention may be
employed without departing from the spirit and scope thereof.
[0020] Illustrated generally at 100 is one embodiment of a system
operable to permit a user to perform one or more transactions via a
plurality of service agents available from a service center. As
illustrated in FIG. 4, system 100 preferably includes service
center 102. Service center 102 may include one or more computing
apparatuses 104 operably coupled to one or more transaction
processing service solutions 106.
[0021] Preferably included in communication apparatus 104, is
processor 108. Operably coupled to processor 108 of computing
apparatus 104 is memory 110. Computing apparatus 104 preferably
employs processor 108 and memory 110 to execute and store,
respectively, one or more instructions of a program of
instructions.
[0022] Also included in computing apparatus 104, as illustrated in
FIG. 4, is communication interface 112. Communication interface 112
is preferably operable to couple computing apparatus 104 and/or
service center 102 to an external communication network 114.
According to teachings of the present disclosure, communication
network 114 may be implemented as a PSTN, a cable telephony
network, an IP telephony network, a wireless network, a hybrid
cable/PSTN network, a hybrid IP/PSTN network, a hybrid
wireless/PSTN network, or any other suitable communication network
or combination of communication networks.
[0023] Communication interface 112 preferably cooperates with
communication network 114 and user communication device 116 to
permit a user to perform one or more transactions via service
center 102. As described above, user communication device 116 may
be a wireless or wireline telephone, dial-up modem, cable modem,
DSL modem, or any other appropriate type or combination of
communication equipment available to a user.
[0024] In operation, service center 102 preferably permits a user
to, in their natural language, request processing or performance of
one or more transactions available from transaction processing
service solutions 106. To enable such processing, computing
apparatus 104 may include or have access to one or more storage
devices 118 including one or more programs of instructions
substantially operable to interpret the intent of a user, identify
a solution sought by the user and route the user to an appropriate
service solution agent.
[0025] To aid in the interpretation, identification and routing
operations of service center 102, storage 118 preferably includes
action-object matrix 120, look-up table 122, utterance storage 124,
prompt library 126, as well as one or more speech recognition
capabilities, such as statistical language modeling engine 128.
Additional detail regarding the operation and cooperation of the
various components, preferably included in storage 118, will be
discussed in greater detail below.
[0026] In one embodiment of the present invention, computing
apparatus 104 is preferably communicatively coupled to one or more
connection switches or redirect devices 130. Connection switch or
redirect device 130 preferably enables computing apparatus 104,
upon determining an appropriate destination for the processing of a
user selected transaction, to route the user via communication
network 132 and, optionally, one or more switches 134, to an
appropriate agent or module of transaction processing service
solution 106.
[0027] Transaction processing service solution 106 preferably
includes a plurality of agents of modules operable to perform one
or more operations in association with the processing of a user
selected transaction. For example, transaction processing service
solution 106 may include one or more agents or modules operable to
perform billing service solutions 136i repair service solutions
138, option service solution 140, basic service solutions 142, as
well as other service solutions. In addition, the agents or modules
implemented in or in association with transaction processing
service solutions 106 may include, but are not limited to,
automated or self-service data processing apparatuses, live
technician support (human support), as well as combinations
thereof.
[0028] Referring now to FIG. 5, one embodiment of a method for a
speech-enabled call routing call application using an action-object
matrix is shown according to teachings of the present invention. As
mentioned above, method 150 of FIG. 5 may be implemented in one or
more computing apparatuses 104 of one or more service centers, such
as a telecommunications call service center. Upon initialization at
152, method 150 preferably proceeds to 154. At 154, method 150
preferably provides for and awaits an incoming contact from a user.
In one embodiment, method 150 at 154 may await user contact via
user communication device 116 across communication network 114 with
communication interface 112 of computing apparatus 104. Myriad
embodiments of user contact with a service or call center are
contemplated within the spirit and scope of the teachings of the
present disclosure.
[0029] Upon detection of an incoming contact at 154, method 150
preferably proceeds to 156 where a communication connection with
the incoming contact is preferably established. As suggested above,
establishing a communication connection with an incoming contact at
156 may include, but is not limited to, receiving a user phone call
via a PSTN or a wireless network, as well as numerous other
communication connection implementations.
[0030] Once a communication connection has been established at 156,
method 150 preferably proceeds to 158. At 158, one or more prompts
may be communicated to the user. In one aspect, the communication
of one or more prompts at 158 is aimed at eliciting from the user
via the communication connection a request for the processing of
one or more desired transactions or operations. For example,
computing apparatus at 158 may access prompt library 126 of storage
118 to generate a user transaction selection prompt such as, "Thank
you for calling our service center. Please tell me how we may help
you today." Alternate embodiments of generating one or more prompts
configured to elicit user selection of a desired transaction are
contemplated within the spirit and scope of teachings of the
present invention.
[0031] At 160 of method 150, user response to the communicated
prompt at 158 is preferably awaited. Upon detection of a user
response at 160, method 150 preferably proceeds to 162 where a
natural language utterance of the user in response to the prompt
communicated at 158 is preferably received. Receipt of a natural
language utterance from a user at 162 may include storage of the
user's natural language utterance in utterance storage 124 of
computing apparatus storage 118. Permanent or temporary storage of
a natural language user utterance, such as in utterance storage
124, may enable or simplify the performance of speech recognition
analysis thereon.
[0032] Following receipt of a natural language user utterance at
162, method 150 preferably proceeds to 164. At 164, the user's
natural language utterance is preferably evaluated in pursuit of
interpreting or identifying the intent of the user and the
operation or processing requested. In one embodiment of the present
invention, evaluation of a natural language user utterance at 164
may include the use of one or more speech recognition technologies,
such as that available from statistical language modeling engine
128 of computing apparatus 104. By evaluating the natural language
user utterance at 164 using speech recognition technology, such as
statistical language modeling engine 128, recognition of a natural
language transaction selection may be achieved. As suggested above,
statistical language modeling engine 128 may cooperate with
utterance storage 124 in its performance of natural language user
utterance evaluation at 164.
[0033] According to teachings of the present invention, statistical
language modeling engine 128 preferably evaluates the natural
language user utterance received at 162 in cooperation with
action-object matrix 120. In the evaluation of a natural language
user utterance at 164, the speech recognition technology preferably
employed by computing apparatus 104 seeks to identify an action, an
object or an action-object combination from the natural language
user utterance. The provision of action-object matrix 120
simplifies and reduces the development costs of automated call
routing applications. By creating a finite number of transaction
options via action-object matrix 120, proper routing of a user to a
service agent or module 136, 138, 140 or 142, may be accomplished
with great efficiency, i.e., substantially eliminating user routing
errors and, therefore, user re-routing.
[0034] As at least a portion of the natural language user utterance
evaluation performed at 164 includes seeking whether the natural
language user utterance includes an action, object or action-object
combination, method 150, at 166, preferably determines whether a
natural language user utterance includes either an "action" 168, an
"object" 170, an "action-object" combination 172 or other
information 174.
[0035] If at 166 it is determined that the natural language user
utterance contains only an action 168, method 150 preferably
proceeds to 176 where one or more additional prompts may be
communicated to the user. The prompts are preferably directed to
eliciting an object selection in a subsequent natural language user
utterance. For example, referring to the action-object matrix
depicted in FIG. 6, it may have been determined from the natural
language user utterance that the user desires to inquire as to
certain aspects available from service center 102. Having
identified that the user wishes to make an "inquiry", computing
apparatus 104 may cooperate with prompt library 126 and
action-object matrix 120 to prompt the user for selection of an
"object" associated with the "inquire" action. As illustrated in
FIG. 6, examples of objects associated with the "inquire" action
include, but are not limited to, in one embodiment, optional
services, basic service, billing, cancellation, repair, payment,
specials as well as name and number.
[0036] Similarly, if at 166 it is determined that the natural
language user utterance contains only an "object" 170, method 150
preferably proceeds to 178 where one or more prompts for a natural
language utterance from the user preferably containing an "action"
selection may be generated. Referring again to the action-object
matrix generally depicted in FIG. 6, if it is determined from the
natural language user utterance that the user desires transaction
processing in association with a service bill, computing apparatus
104 may cooperate with action-object matrix 120 and prompt library
126 to generate one or more prompts directed to eliciting user
selection, in their own words, of an "action" associated with the
bill "object". As shown in FIG. 6, examples of actions associated
with the bill object may include, but are not limited to, in one
embodiment, inquiry, information, fixing or repairing and
paying.
[0037] It should be understood that the action-object matrix
depicted generally in FIG. 6 is included primarily for purposes of
illustration. As such, alternate embodiments of an action-object
matrix such as the action-object matrix depicted in FIG. 6 may be
implemented without departing from the spirit and scope of
teachings of the present invention.
[0038] If at 166 evaluation of the natural language user utterance
leads to identification of neither an "action" 168, "object" 170
nor an "action-object" combination 172, method 150 preferably
proceeds to 180 where a disambiguation dialogue may be initiated
and performed. In one example, it may be determined at 166 that the
contents of the natural language user utterance contains more than
one action available in an associated action-object matrix, more
than one "object" available in an associated action-object matrix,
no indication of an "action" nor an "object", as well as other
information failing to indicate user selection of a desired
transaction. In such an event, method 150 preferably provides for
additional dialogue to be performed with the user in an effort to
elicit an "action-object" combination from the user. Following
prompting for an "object" at 176, for an "action" at 178 or
initiation and performance of disambiguation dialogue at 180,
method 150 preferably returns to 160 where a response may be
awaited as described above. Method 150 then preferably proceeds
through the operations at 162, 164 and 166, in one embodiment,
until an action-object combination 172 has been elicited from the
user in a natural language utterance.
[0039] Following identification from the user's natural language
utterance of an action-object combination 172, method 150
preferably proceeds to 182. At 182, computing apparatus 104
preferably cooperates with action-object matrix 120 and look-up
table 122 to identify a preferred or proper routing destination for
processing of the user's selected transaction. As suggested above,
the routing destinations identified at 182 may include routing
destinations associated with the agents or modules available in
transaction processing service solutions 106. Agents or modules
136, 138, 140 and 142 may include automated transaction processing
available via computing apparatus 104 or a similar device, live
support, combinations thereof, as well as other transaction
processing options.
[0040] Following identification of a preferred or proper routing
destination at 182, method 150 preferably proceeds to 184. At 184,
the user connection is preferably routed to the appropriate, proper
or preferred routing destination indicated in look-up table 122.
Following the routing of the user connection at 184, method 150
preferably returns to 154 where the next user connection may be
awaited.
[0041] Referring again to FIG. 6, an action-object matrix
incorporating teachings of the present invention is shown. As shown
in FIG. 6, action-object matrix 200 preferably includes a plurality
of columns or rows, depending on implementation, of actions 202.
Action-object matrix 200 preferably also includes a plurality of
rows or columns, again depending upon implementation, of objects
204. The intersection of an action row or column with an object
column or row, respectively, generally defines a transaction or
task available from service center 102 via, for example, one or
more service modules or agents 136, 138, 140 and 142.
[0042] In accordance with teachings of the present invention,
service center 102, method 150 and action-object matrix 200
preferably cooperate to interpret user intent, identify a desired
transaction and the correct routing destination from natural
language user utterances. For example, using actions 202 and
objects 204 of action-object matrix 200, in conjunction with method
150, a natural language user utterance such as, "How much do I owe
on my bill?" may be evaluated to contain the action-object
combination inquire/bill 206. In a further example, the natural
language user utterance, "I have a problem with a charge on my
bill" may produce the action-object combination fix-repair/bill
208. In still another example, the natural language user utterance,
"Where can I go to pay my phone bill?" may be evaluated to include
the action-object combination of where/payment 210. In yet another
example, the natural language user utterance, "How do I set up Call
Forwarding?" may be evaluated to include the action-object
combination how-to-use/option services 212. In yet another example,
the natural language user utterance, "I'd like to get Call Notes."
may be evaluated to include the action-object combination
acquire/optional services 214.
[0043] As mentioned above, action-object matrix 200, such as may be
stored in action-object matrix storage 120, preferably cooperates
with a look-up table to identify the routing destination associated
with an identified action-object combination. For example, upon
identifying action-object combination inquire/bill 206 from a
natural language user utterance, computing apparatus 104 may
utilize action-object matrix storage 120 and look-up table 122 to
determine that the appropriate routing destination for inquire/bill
action-object combination 206 is bill agent or module 136 of
transaction processing service solution 106. In another example,
upon identifying action-object combination fix-repair/bill from a
natural language user utterance, computing apparatus 104
cooperating with action-object matrix storage 120 and look-up table
122 may determine that an appropriate routing destination for the
user connection includes repair, agent or module 138 of transaction
processing service solutions 106. Additional implementations of
associating a look-up table with an action-object matrix may be
utilized without departing from the spirit and scope of teachings
of the present invention.
[0044] Although the disclosed embodiments have been described in
detail, it should be understood that various changes, substitutions
and alterations can be made to the embodiments without departing
from their spirit and scope.
* * * * *